An Introduction to Bartlett Correction and Bias Reduction
This book presents a concise introduction to Bartlett and Bartlett-type corrections of statistical tests and bias correction of point estimators. The underlying idea behind both groups of corrections is to obtain higher accuracy in small samples. While the main focus is on corrections that can be an...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
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Berlin, Heidelberg :
Springer Berlin Heidelberg
2014.
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| Colección: | SpringerBriefs in Statistics.
Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b32929444*spi |
| Sumario: | This book presents a concise introduction to Bartlett and Bartlett-type corrections of statistical tests and bias correction of point estimators. The underlying idea behind both groups of corrections is to obtain higher accuracy in small samples. While the main focus is on corrections that can be analytically derived, the authors also present alternative strategies for improving estimators and tests based on bootstrap, a data resampling technique, and discuss concrete applications to several important statistical models. |
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| Descripción Física: | XI, 107 p. |
| Formato: | Forma de acceso: World Wide Web. |
| ISBN: | 9783642552557 |
